How do I use MatLab to find a line of best fit with a predetermined y intercept using regression.
22 次查看(过去 30 天)
显示 更早的评论
I have data on changes in cardiac output with temperature changes from several studies. This data is expressed as CO at Tn / CO at T0, so at baseline temperature the result = 1. I want to find a line of best fit for this data, but the y intercept must be 1 for it to make sense.
How do I use Matlab find a line of best fit with least squares regression for this data, with the y intercept constrained to 1? It is easily done with Microsoft Excel, but I am trying to become more familiar with stats on Matlab.
0 个评论
采纳的回答
Star Strider
2022-12-18
Perhaps —
x = 0:250;
y = randn(size(x));
B0 = x(:) \ (y(:)-1)
fitline = x(:) * B0 + 1;
figure
plot(x, y, '.')
hold on
plot(x, fitline, '-r')
hold off
grid
.
7 个评论
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Descriptive Statistics 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!